The third, and final article in my series on migrating data to
and from Hadoop and SQL databases is now available:

Big data is a term that has been used regularly now for almost a
decade, and it — along with technologies like NoSQL — are seen as
the replacements for the long-successful RDBMS solutions that use
SQL. Today, DB2®, Oracle, Microsoft® SQL Server MySQL, and
PostgreSQL dominate the SQL space and still make up a
considerable proportion of the overall market. In this final
article of the series, we will look at more automated solutions
for migrating data to and from Hadoop. In the previous …

The second article in a series covering Big Data and SQL
interaction is available now:

“Big data” is a term that has been used regularly now for almost
a decade, and it — along with technologies like NoSQL — are seen
as the replacements for the long-successful RDBMS solutions that
use SQL. Today, DB2®, Oracle, Microsoft® SQL Server MySQL, and
PostgreSQL dominate the SQL space and still make up a
considerable proportion of the overall market. Here in Part 2, we
will concentrate on how to use HBase and Hive for exchanging data
with your SQL data stores. From the outside, the two systems seem
to be largely similar, …

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